updated paper

hippylib · Aug 15, 2023 · d2c6a68 · d2c6a68
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@@ -85,17 +85,17 @@ The unified form language used by FEniCS also allows users to conveniently defin
 SOUPy is also integrated with hIPPYlib, an open source library for large-scale inverse problems, 
 adopting its framework for adjoint-based derivative computation and algorithms for efficient sampling of random fields.
 
-<!-- To this end, SOUPy makes use of FEniCS, an open source finite-element library, to create and solve the underlying PDEs. 
-The unified form language used by FEniCS allows users to conveniently define the PDE in its weak form, 
-as well as the form of the QoI and any additional penalization terms on the optimization variable. 
-SOUPy is also integrated with hIPPYlib, an open source library for large-scale inverse problems, 
-adopting its framework for adjoint-based computation of derivatives and efficient sampling of random fields. -->
 
 SOUPy can be used by researchers to rapidly prototype formulations and solutions PDE-constrained OUU problems.
 Additionally, SOUPy aims to facilitate the development and testing of novel algorithms for PDE-constrained OUU. 
-For example, SOUPy has been used in the development of methods for the optimization of turbulent flows [@ChenVillaGhattas19], metamaterial design [@ChenHabermanGhattas21], and groundwater extraction [@ChenGhattas21].
+For example, SOUPy has been used in the development of Taylor approximation-based methods for the optimization of turbulent flows [@ChenVillaGhattas19], metamaterial design [@ChenHabermanGhattas21], and groundwater extraction [@ChenGhattas21] under uncertainty.
 It has also been used to obtain baselines for the development of machine learning approaches for PDE-constrained OUU [@LuoOLearyRoseberryChenEtAl23].
 
+<!-- To this end, SOUPy makes use of FEniCS, an open source finite-element library, to create and solve the underlying PDEs. 
+The unified form language used by FEniCS allows users to conveniently define the PDE in its weak form, 
+as well as the form of the QoI and any additional penalization terms on the optimization variable. 
+SOUPy is also integrated with hIPPYlib, an open source library for large-scale inverse problems, 
+adopting its framework for adjoint-based computation of derivatives and efficient sampling of random fields. -->
 # Acknowledgements
 This project is partially supported by NSF grants #2012453 and #2245674.